Juno Nam

15 papers A* 1Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Discrete Adjoint Schrödinger Bridge Sampler.
CoRR
Wei Guo, Yuchen Zhu, Xiaochen Du, Juno Nam, Yongxin Chen, Rafael Gómez-Bombarelli, Guan-Horng Liu, Molei Tao, Jaemoo Choi
2026 J jnl
FragmentFlow: Scalable Transition State Generation for Large Molecules.
CoRR
Ron Shprints, Peter Holderrieth, Juno Nam, Rafael Gómez-Bombarelli, Tommi S. Jaakkola
2026 J jnl
Generalized Schrödinger Bridge on Graphs.
CoRR
Panagiotis Theodoropoulos, Juno Nam, Evangelos A. Theodorou, Jaemoo Choi
2026 J jnl
Scaling Autoregressive Models for Lattice Thermodynamics.
CoRR
Xiaochen Du, Juno Nam, Sulin Liu, Rafael Gómez-Bombarelli
2025 J jnl
Enhancing Diffusion-Based Sampling with Molecular Collective Variables.
CoRR
Juno Nam, Bálint Máté, Artur P. Toshev, Manasa Kaniselvan, Rafael Gómez-Bombarelli, Ricky T. Q. Chen, Brandon M. Wood, Guan-Horng Liu, Benjamin Kurt Miller
2025 J jnl
Learning from the electronic structure of molecules across the periodic table.
CoRR
Manasa Kaniselvan, Benjamin Kurt Miller, Meng Gao, Juno Nam, Daniel S. Levine
2025 A* conf
Think while You Generate: Discrete Diffusion with Planned Denoising.
ICLR
Sulin Liu, Juno Nam, Andrew Campbell, Hannes Stärk, Yilun Xu, Tommi S. Jaakkola, Rafael Gómez-Bombarelli
2025 J jnl
Transferable Learning of Reaction Pathways from Geometric Priors.
CoRR
Juno Nam, Miguel Steiner, Max Misterka, Soojung Yang, Avni P. Singhal, Rafael Gómez-Bombarelli
2024 J jnl
Flow Matching for Accelerated Simulation of Atomic Transport in Materials.
CoRR
Juno Nam, Sulin Liu, Gavin Winter, KyuJung Jun, Soojung Yang, Rafael Gómez-Bombarelli
2024 J jnl
Interpolation and differentiation of alchemical degrees of freedom in machine learning interatomic potentials.
CoRR
Juno Nam, Rafael Gómez-Bombarelli
2024 J jnl
Learning Collective Variables for Protein Folding with Labeled Data Augmentation through Geodesic Interpolation.
CoRR
Soojung Yang, Juno Nam, Johannes C. B. Dietschreit, Rafael Gómez-Bombarelli
2024 J jnl
Symmetry-Constrained Generation of Diverse Low-Bandgap Molecules with Monte Carlo Tree Search.
CoRR
Akshay Subramanian, James K. Damewood, Juno Nam, Kevin P. Greenman, Avni P. Singhal, Rafael Gómez-Bombarelli
2024 J jnl
Think While You Generate: Discrete Diffusion with Planned Denoising.
CoRR
Sulin Liu, Juno Nam, Andrew Campbell, Hannes Stärk, Yilun Xu, Tommi S. Jaakkola, Rafael Gómez-Bombarelli
2024 J jnl
Understanding active learning of molecular docking and its applications.
CoRR
Jeonghyeon Kim, Juno Nam, Seongok Ryu
2016 J jnl
Linking the Neural Machine Translation and the Prediction of Organic Chemistry Reactions.
CoRR
Juno Nam, Jurae Kim